By Dave Kuhlman

This rfile is a self studying record for a path in Python programming. This path comprises (1) an element for novices, (2) a dialogue of numerous complex themes which are of curiosity to Python programmers, and (3) a Pythonworkbook with plenty of workouts.

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Testing for "iterability": If you can use an object in a for: statement, it's iterable. If the expresion iter(obj) does not produce a TypeError exception, it's iterable. html. iteritems().  Lists, tuples, dictionaries, and strings can be used in an iterator context to produce an iterator.  Syntactically like list comprehensions, but (1) surrounded by parentheses instead of square brackets and (2) use lazy evaluation. idx +=1 return x else: raise StopIteration def test(): a = A() for x in a: Page 45 A Python Book print x test() Note that the iterator protocol changes in Python 3.

A is b and id(a) == id(b). Useful to test for None, for example: if x is None: ... if x is not None: ... ● in and not in ­­ Can be used to test for existence of a key in a dictionary or for the presence of a value in a collection. The in operator tests for equality, not identity. =, <, <=, ...  Example: ● >>> a = 'aa' >>> b = 'bb' >>> x = 'yes' if a == b else 'no' >>> x 'no' Notes: The elif: clauses and the else: clause are optional. ) ● Parentheses around the condition in an if: or elif: are not required and are considered bad form, unless the condition extends over multiple lines, in which case parentheses are preferred over use of a line continuation character (backslash at the end of the line).

Html#dictionary­view­objects. keys(): ... print key ... values(): ... print value ... items(): ... print item Page 31 A Python Book ... items(): ... print key, '::', value ... aa :: 111 cc :: 333 bb :: 222 Additional notes on dictionaries: ● ● You can use iterkeys(), itervalues(), iteritems() to obtain iterators over keys, values, and items.  You could also use file(), but open() is recommended.  This is most likely only useful for text files.  See the section on the with: statement.  Example: def test(): # # use multiple nested with: statements.

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